ImageBind
ImageBind One Embedding Space to Bind Them All (by facebookresearch)
ImageBind | How-to-Perform-Image-Driven-Reverse-Image-Search-on-E-Commerce-Sites | |
---|---|---|
15 | 1 | |
7,947 | 1 | |
2.1% | - | |
4.1 | 6.3 | |
25 days ago | 3 months ago | |
Python | Python | |
GNU General Public License v3.0 or later | GNU General Public License v3.0 only |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
ImageBind
Posts with mentions or reviews of ImageBind.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-02-28.
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Perform Image-Driven Reverse Image Search on E-Commerce Sites with ImageBind and Qdrant
git clone https://github.com/facebookresearch/ImageBind.git
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[P] ImageBind fine-tuning with LoRA
ImageBind is a novel multimodal neural network that can learn a universal representation for various types of data, such as images, videos, audio, text, IMU data, and heat maps. It uses large-scale pre-trained models and contrastive learning to achieve this. If you want to fine-tune ImageBind for your own task, you can use ImageBind-LoRA, which applies Low-Rank Adaptation (LoRA) to adjust the embeddings.
- Here goes META again
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Suggestions for a model that generates image from mel-spectogram
Perhaps you could train a custom latent diffusion model to generate album cover art but instead of using CLIP embeddings, try training with Meta's new: https://github.com/facebookresearch/ImageBind embeddings. Then instead of conditioning generated samples on text prompts using CLIP embeddings, you could do so with audio after embedding with ImageBind.
- "IMAGEBIND: One Embedding Space To Bind Them All", Girdhar et al 2023 {FB}
- ImageBind One Embedding Space to Bind Them All
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News - ImageBind - New META Generative AI model actually multi modality model
GitHub repo : https://github.com/facebookresearch/ImageBind
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Meta Introduces ImageBind: An AI Model that Learns Across Six Modalities
The license in the repo is for non-commercial use only - https://github.com/facebookresearch/ImageBind/blob/main/LICENSE
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[R] Meta ImageBind - a multimodal LLM across six different modalities
The model is available on github.
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Meta open-sources multisensory AI model that combines six types of data
Welp, I guess it can't hurt to ask:
https://github.com/facebookresearch/ImageBind/pull/6
How-to-Perform-Image-Driven-Reverse-Image-Search-on-E-Commerce-Sites
Posts with mentions or reviews of How-to-Perform-Image-Driven-Reverse-Image-Search-on-E-Commerce-Sites.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-02-28.
-
Perform Image-Driven Reverse Image Search on E-Commerce Sites with ImageBind and Qdrant
You can find the code on GitHub.
What are some alternatives?
When comparing ImageBind and How-to-Perform-Image-Driven-Reverse-Image-Search-on-E-Commerce-Sites you can also consider the following projects:
ImageBind-LoRA - Fine-tuning "ImageBind One Embedding Space to Bind Them All" with LoRA